Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
664-02-009 ISMRM Abstract

Diffuse visual-pathway injury after blast in sheep: SS3T-CSD and centerline FA profiling at 7T (N=4)

Accepted
Sudhir K Pathak 1, Devin Raine Everaldo Cortes2, Yijen L Wu2,3,4, Christopher J Thibault5, Jane Manfredi6, Ricardo Mejia-Alvarez7, Tony Yuan8, Walter Schneider9,10,11,12
1Learning Research and Development Center, University of Pittsburgh, Pittsburgh, United States of America
2Bioengineering, University of Pittsburgh, Pittsburgh, United States of America
3Rangos Research Center Animal Imaging Core, Children's Hospital of Pittsburgh of UPMC, Pittsburgh, United States of America
4Pediatrics, Division of Neurology & Child Development, University of Pittsburgh, Pittsburgh, United States of America
5College of Veterinary Medicine, Michigan State University, East Lansing, United States of America
6Department of Large Animal Clinical Sciences, Michigan State University, East Lansing, United States of America
7Department of Mechanical Engineering, Michigan State University, East Lansing, United States of America
8Radiology, Uniformed Services University of the Health Sciences, Bethesda, United States of America
9Department of Psychology, University of Pittsburgh, Pittsburgh, United States of America
10Learning Research and Development Center, University of Pittsburgh, Pittsburgh, United States of America
11Radiology, University of Pittsburgh, Pittsburgh, United States of America
12University of Pittsburgh, Pittsburgh, United States of America
Presenting Author: Sudhir K Pathak

Synopsis

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References

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2. Bryden et al., Blast-Related Traumatic Brain Injury: Current Concepts and Research Considerations. J Exp Neurosci 2019;13:1179069519872213
3. Hernandez et al., Exposure to mild blast forces induces neuropathological effects, neurophysiological deficits, and biochemical changes. Mol Brain 2018;11:64
4. Tournier et al., MRtrix3: A fast, flexible and open software framework for medical image processing and visualisation. NeuroImage 2019;202:116137
5. Veraart et al., Denoising of diffusion MRI using random matrix theory. NeuroImage 2016;142:394-406
6. T. Dhollander, D. Raffelt, and A. Connelly. A novel iterative approach to reap the benefits of multi-tissue CSD from just single-shell (+b=0) diffusion MRI data. ISMRM (2016), pp. 3010
7. M. Jenkinson, C.F. Beckmann, T.E. Behrens, M.W. Woolrich, S.M. Smith. FSL. NeuroImage, 62:782-90, 2012
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9. Tustison, N.; Avants, B.; Cook, P.; Zheng, Y.; Egan, A.; Yushkevich, P. & Gee, J. N4ITK: Improved N3 Bias Correction. IEEE Transactions on Medical Imaging, 2010, 29, 1310-1320
10. Taylor PA, Saad ZS (2013). FATCAT: (An Efficient) Functional And Tractographic Connectivity Analysis Toolbox. Brain Connect. 3, 523–535. doi.org/10.1089/brain.2013.0154 [doi]
11. Piccinelli M, Veneziani A, Steinman DA, Remuzzi A and Antiga L. A framework for geometric analysis of vascular structures: application to cerebral aneurysms. IEEE Transactions on Medical Imaging, 28(8): 1141-55, 2009.
12. Kikinis R, Pieper SD, Vosburgh K (2014) 3D Slicer: a platform for subject-specific image analysis, visualization, and clinical support. Intraoperative Imaging Image-Guided Therapy, Ferenc A. Jolesz, Editor 3(19):277–289 ISBN: 978-1-4614-7656-6 (Print) 978-1-4614-7657-3
13. Moore DF et al. "Computational biology — modeling of primary blast effects on the central nervous system." NeuroImage 2009;47:T10-T20.

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